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The virtual disengagement hypothesis: A neurophysiological framework for reduced empathy on social media.
Tavares, Maria; Rein, Ben.
Afiliação
  • Tavares M; University of California San Diego School of Medicine, La Jolla, CA, USA.
  • Rein B; Mind Science Foundation, San Antonio, TX, USA. brein@mindscience.org.
Article em En | MEDLINE | ID: mdl-39187670
ABSTRACT
Social media is a hotbed of interpersonal conflict and aggression. Platforms such as Twitter and Instagram are used by more than 62% of the global population, facilitating billions of user interactions every day. However, many of these exchanges involve hostile, insensitive, and antisocial behaviors. This raises the question is empathy blunted on social media? Substantial evidence demonstrates that humans tend to behave more rudely in virtual settings, but considering the scarcity of physiological data collected under these circumstances, it remains unclear how the neural systems guiding social cognition and empathy may function differently in online interactions. We propose the "Virtual Disengagement Hypothesis," a conceptual framework to explain the prevalence of hostility online. It posits that interactions occurring on social media omit social cues that facilitate the assessment of a social partner's affective state, such as facial expressions and vocal tone, and thus fail to sufficiently recruit brain circuitry involved in empathy, such as the anterior cingulate cortex, insula, and prefrontal cortex. Additionally, interactions on social media occur asynchronously and in a "replayed" context, which may further limit recruitment of empathy systems. As a result of this diminished sensitivity to others' states, users may be predisposed to inconsiderate or outright antisocial behaviors. Given the massive and growing base of users on these platforms, we urge researchers to expand efforts that focus on neuroimaging in virtual settings with a particular emphasis on developing social media-relevant behavioral designs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Cogn Affect Behav Neurosci Assunto da revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Cogn Affect Behav Neurosci Assunto da revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos